Blends of scum oil methyl ester, alcohols, silver nanoparticles and the operating conditions affecting the diesel engine performance and emission: an optimization study using Dragon fly algorithm

Basit Öğe Kaydı
dc.authoridSoudagar, Manzoore Elahi M./0000-0002-0935-2040
dc.authoridBURADI, ABDULRAJAK/0000-0001-7776-9238
dc.authorwosidSoudagar, Manzoore Elahi M./R-4943-2019
dc.authorwosidBURADI, ABDULRAJAK/AAE-3904-2021
dc.contributor.authorAfzal, Asif
dc.contributor.authorAgbulut, Umit
dc.contributor.authorSoudagar, Manzoore Elahi M.
dc.contributor.authorRazak, R. K. Abdul
dc.contributor.authorBuradi, Abdulrajak
dc.contributor.authorSaleel, C. Ahamed
dc.date.accessioned2021-12-01T18:50:35Z
dc.date.available2021-12-01T18:50:35Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThe effect of the addition of different proportions of silver (Ag) nanoparticles and alcohols in milk scum oil methyl ester on the performance of engine and emission are studied. B20 blend is added with 5% of ethanol, n-butanol, and iso-butanol as ternary additives for the experimental analysis from no load to full load. Furthermore, at a fixed load, operating conditions such as injection pressure (12 and 15 bar) and injection timing (23 degrees and 26 degrees) are varied without and with the addition of 0.8 vol% of Ag (silver) nanoparticles to the fuel blends. Also, the concentrations of Ag nanoparticles are increased from 0.2 to 1 vol% and comparisons are made with diesel and B60 blend. Mathematical models are developed for selected features of engine performance which fits with the experimental values for the purpose of optimization using the Dragon fly algorithm (DA) by considering these models as the objective functions. The concentration of nanoparticles lowers the BSFC significantly and helps in reducing the emission with an increased percentage. Using full biodiesel, 16.6% reduction in BTE was obtained, while use of alcohols prevented this reduction approximately by 5%. A highest of 4.6% improvement was obtained with the addition of Ag nanoparticles. 4.5% reduction in HC and 13% in NOx emission using nanoparticles are obtained. The DA algorithm provided the same optimized value at the end of 30 iterations in different cycles of execution. Nanoparticle addition and use of pressure in the range of 20 bar gives the lowest emission from the engine.en_US
dc.description.sponsorshipDeanship of Scientific Research at King Khalid University, Saudi Arabia through General Research Group Program [R.G.P. 1/104/42]en_US
dc.description.sponsorshipThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia for funding this work through General Research Group Program under Grant No: R.G.P. 1/104/42.en_US
dc.identifier.doi10.1007/s13204-021-02046-5
dc.identifier.endpage2432en_US
dc.identifier.issn2190-5509
dc.identifier.issn2190-5517
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85114787759en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage2415en_US
dc.identifier.urihttps://doi.org/10.1007/s13204-021-02046-5
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10898
dc.identifier.volume11en_US
dc.identifier.wosWOS:000695088400003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofApplied Nanoscienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiodieselen_US
dc.subjectAlcoholsen_US
dc.subjectInjection pressureen_US
dc.subjectEngine performanceen_US
dc.subjectEmissionen_US
dc.subjectNanoparticlesen_US
dc.subjectExhaust Emissionsen_US
dc.subjectFossil-Fuelsen_US
dc.subjectN-Butanolen_US
dc.subjectBiodieselen_US
dc.subjectCombustionen_US
dc.subjectAdditivesen_US
dc.subjectOxideen_US
dc.titleBlends of scum oil methyl ester, alcohols, silver nanoparticles and the operating conditions affecting the diesel engine performance and emission: an optimization study using Dragon fly algorithmen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
10898.pdf
Boyut:
5.34 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu